Solving Airport Gate Allocation Problem using Simulated Kalman Filter

Solving Airport Gate Allocation Problem using Simulated Kalman Filter

Airport gate allocation problem refers to the search for optimal assignment of flights to gates at an airport. Assignment of flight to gates has become very complex nowadays, especially for a big size airport. In this study,the airport gate allocation problem is solved using a recently introduced m...

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Main Authors: Zulkifli, Md. Yusof, Siti Nurzulaikha, Satiman, Kamil Zakwan, Mohd Azmi, Badaruddin, Muhammad, Saifudin, Razali, Zuwairie, Ibrahim, Zulfakar, Aspar, Suraya, Ismail
Format: Conference or Workshop Item
Language:English
Published: Universiti Sains Malaysia 2016
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/11910/
http://umpir.ump.edu.my/id/eprint/11910/
http://umpir.ump.edu.my/id/eprint/11910/1/Solving%20Airport%20Gate%20Allocation%20Problem%20using%20Simulated%20Kalman%20Filter.pdf
id ump-11910
recordtype eprints
spelling ump-119102017-10-30T02:31:32Z http://umpir.ump.edu.my/id/eprint/11910/ Solving Airport Gate Allocation Problem using Simulated Kalman Filter Zulkifli, Md. Yusof Siti Nurzulaikha, Satiman Kamil Zakwan, Mohd Azmi Badaruddin, Muhammad Saifudin, Razali Zuwairie, Ibrahim Zulfakar, Aspar Suraya, Ismail TK Electrical engineering. Electronics Nuclear engineering Airport gate allocation problem refers to the search for optimal assignment of flights to gates at an airport. Assignment of flight to gates has become very complex nowadays, especially for a big size airport. In this study,the airport gate allocation problem is solved using a recently introduced meta-heuristic called simulated Kalman filter (SKF). The SKF is driven by the estimation capability of a well-known Kalman filter. The objective of this study is to minimize the total walking distance. Since the airport gate allocation problem is a combinatorial optimization problem, the original SKF is extended such that it can be used to solve combinatorial optimization problems. A small case study with 15 flights and 16 gates has been chosen. Preliminary results show that SKF is a promising algorithm for solving the airport gate allocation problem. Universiti Sains Malaysia 2016 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/11910/1/Solving%20Airport%20Gate%20Allocation%20Problem%20using%20Simulated%20Kalman%20Filter.pdf Zulkifli, Md. Yusof and Siti Nurzulaikha, Satiman and Kamil Zakwan, Mohd Azmi and Badaruddin, Muhammad and Saifudin, Razali and Zuwairie, Ibrahim and Zulfakar, Aspar and Suraya, Ismail (2016) Solving Airport Gate Allocation Problem using Simulated Kalman Filter. In: Proceedings of International Conference on Knowledge Transfer (ICKT'15), 1-3 December 2015 , Putrajaya Marriott Hotel, Malaysia. pp. 121-127.. ISBN 978-967-394-255-8 https://drive.google.com/file/d/0ByBlFVsjNeg5a3ZXYkZ3TVVoRlE/view
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Zulkifli, Md. Yusof
Siti Nurzulaikha, Satiman
Kamil Zakwan, Mohd Azmi
Badaruddin, Muhammad
Saifudin, Razali
Zuwairie, Ibrahim
Zulfakar, Aspar
Suraya, Ismail
Solving Airport Gate Allocation Problem using Simulated Kalman Filter
description Airport gate allocation problem refers to the search for optimal assignment of flights to gates at an airport. Assignment of flight to gates has become very complex nowadays, especially for a big size airport. In this study,the airport gate allocation problem is solved using a recently introduced meta-heuristic called simulated Kalman filter (SKF). The SKF is driven by the estimation capability of a well-known Kalman filter. The objective of this study is to minimize the total walking distance. Since the airport gate allocation problem is a combinatorial optimization problem, the original SKF is extended such that it can be used to solve combinatorial optimization problems. A small case study with 15 flights and 16 gates has been chosen. Preliminary results show that SKF is a promising algorithm for solving the airport gate allocation problem.
format Conference or Workshop Item
author Zulkifli, Md. Yusof
Siti Nurzulaikha, Satiman
Kamil Zakwan, Mohd Azmi
Badaruddin, Muhammad
Saifudin, Razali
Zuwairie, Ibrahim
Zulfakar, Aspar
Suraya, Ismail
author_facet Zulkifli, Md. Yusof
Siti Nurzulaikha, Satiman
Kamil Zakwan, Mohd Azmi
Badaruddin, Muhammad
Saifudin, Razali
Zuwairie, Ibrahim
Zulfakar, Aspar
Suraya, Ismail
author_sort Zulkifli, Md. Yusof
title Solving Airport Gate Allocation Problem using Simulated Kalman Filter
title_short Solving Airport Gate Allocation Problem using Simulated Kalman Filter
title_full Solving Airport Gate Allocation Problem using Simulated Kalman Filter
title_fullStr Solving Airport Gate Allocation Problem using Simulated Kalman Filter
title_full_unstemmed Solving Airport Gate Allocation Problem using Simulated Kalman Filter
title_sort solving airport gate allocation problem using simulated kalman filter
publisher Universiti Sains Malaysia
publishDate 2016
url http://umpir.ump.edu.my/id/eprint/11910/
http://umpir.ump.edu.my/id/eprint/11910/
http://umpir.ump.edu.my/id/eprint/11910/1/Solving%20Airport%20Gate%20Allocation%20Problem%20using%20Simulated%20Kalman%20Filter.pdf
first_indexed 2023-09-18T22:12:58Z
last_indexed 2023-09-18T22:12:58Z
_version_ 1777415150583676928

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